ArticleESMO open2026
Association of comprehensive inflammatory-metabolic status and perioperative outcomes in gastric cancer: insights from four randomized controlled trials.
Article in ESMO open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Dynamic survival prediction using longitudinal AGR in unresectable locally advanced esophageal squamous cell carcinoma.Frontiers in immunology · 2026Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInflammatory and metabolic status play a key role in the prognosis of gastric cancer (GC) patients. This study aimed to develop a novel comprehensive inflammatory-metabolic index (CIMI) to predict the risk of perioperative complications and prolonged hospital stay in GC patients. PATIENTS AND
methodsThis study included 567 stage II-III GC patients from four randomized, controlled trials RCTs as the development cohort, and 107 patients from an external cohort as the validation set. Preoperative hematological and body composition parameters were used to evaluate inflammatory-metabolic status. The predictive performance of CIMI was evaluated using receiver operating characteristic (ROC), precision-recall (PR), decision curve analysis (DCA) curves, and model fit indices [deviance, Akaike information criterion (AIC), Bayesian information criterion (BIC)]. Subgroup and survival analyses were conducted to further explore the clinical utility of CIMI.
resultsCIMI was calculated using the formula: log[white blood cell count (10
conclusionsAs a novel inflammatory-metabolic index, CIMI effectively predicts the risk of post-operative complications and prolonged hospital stay in GC patients, providing valuable insights for clinical decision-making and health care system strategies.
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Registered trials
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